Infopaket

Course Paper

ВК.2.11

Вибіркова дисципліна для ОП

First

2022/2023

6 Semester

2

PL18.2. Know approaches to software quality evaluation and assurance, be able to apply them. PL19.2. Analyse, evaluate and select instrumental and computing tools, paradigms, technologies, algorithmic and software solutions in the design and development of software systems. PL20.2. Choose source data for software systems design, guided by formal methods of modelling and requirements description. PL21.2. Reasonably choose the programming technologies to solve the problems of software creating and maintaining. PL22.2. Be able to analyze and document existing business processes in the customer's organization.

Distance form

Know: the main stages of the software systems life cycle and the principles of software design. Algorithmic principles in modelling, designing, developing, and maintaining information systems and technologies. Be able to: practically apply algorithmic principles in modelling, designing, developing, and maintaining information systems and technologies. Develop, implement, and maintain intelligent systems for data analysis and processing in organisational, technical, natural, and socio-economic systems. Possess basic skills in: programming. Development and maintenance of databases and knowledge bases. Using tools for software design and development.

To systematise, consolidate, and expand students' theoretical and practical knowledge, as well as to apply it in solving specific professional tasks. The coursework is an elective component of the educational and professional programme for the first (bachelor's) level of higher education in the field of study 12 "Information Technology," specialty 122 "Computer Science," within the educational and professional programme "Informatics," as part of the elective module "Theory and Technology of Programming." The completion of the coursework in the 6th semester involves 60 hours (2 ECTS credits). The coursework defence takes the form of a differentiated assessment.

D. Pecorari: Teaching to Avoid Plagiarism: How to promote good source use, Open University Press, 2013. L.L. Omelchuk, A.B. Stavrovskyi. Metodychni vkazivky z pidhotovky ta oformlennia kvalifikatsiinykh ta kursovykh robit dlia studentiv fakultetu kompiuternykh nauk ta kibernetyky. K.: Kyivskyi Natsionalnyi Universytet imeni Tarasa Shevchenka, 2017 – 47 s. [Access mode] http://csc.knu.ua/media/filer_public/4f/74/4f7459c9-9e5a-4a77-b8f3-ef30a1f435d5/qualification_work.pdf R.V. Smith, L.D. Densmore, E.F. Lener: Graduate Research a Guide for Students in the Sciences, 4th ed., Academic Press, 2016. E.-C. Leong, C. Lee-Hsia Heah, K. Keng Wee Ong: Guide to Research Projects for Engineering Students: Planning, Writing and Presenting, CRC Press, 2016. J. Bell, S. Waters: Doing Your Research Project: A Guide for First-time Researchers, 6th ed., McGraw-Hill, 2014.

Consultations with the academic supervisor, independent work.

Semester Assessment: Coursework Defence The maximum/minimum number of points that students can obtain for completing coursework is 100 points / 60 points, distributed as follows: Justification of the relevance of the topic: – 10 points / 6 points. Processing and use of scientific literature: – 15 points / 9 points. Validity of the research methodology: – 10 points / 9 points. Justification of the analysis and interpretation of obtained results: – 30 points / 18 points. Consistency of conclusions with the research objectives: – 5 points / 3 points. Clarity of structure and presentation of materials: – 5 points / 3 points. Accuracy of language: – 5 points / 3 points. Quality of work formatting: – 5 points / 3 points. Systematic approach to completing the work: – 15 points / 9 points. Final Assessment (in the form of a differentiated credit): Credit points are determined as the sum of grades/points for all successfully assessed learning outcomes specified in this programme.

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